Model translation method and device and computer readable storage medium

A technology for translation devices and models, applied in the field of artificial intelligence, which can solve problems such as incompatibility between models and processor formats

Pending Publication Date: 2021-06-04
CANAAN BRIGHT SIGHT CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Using this model method and device can solve the technical problem of fo

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  • Model translation method and device and computer readable storage medium
  • Model translation method and device and computer readable storage medium
  • Model translation method and device and computer readable storage medium

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Embodiment Construction

[0035] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0036] In the present application, it should be understood that terms such as "comprising" or "having" are intended to indicate the presence of features, numbers, steps, acts, components, parts or combinations thereof disclosed in the specification, and are not intended to exclude one or multiple other features, numbers, steps, acts, parts, parts or combinations thereof.

[0037] In addition, it should be noted that, in the case of...

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Abstract

The invention provides a model translation method and device and a computer readable storage medium. The method comprises the steps of obtaining a to-be-translated model and a training data set; converting the neural network layer of the to-be-translated model into a target neural network layer supported by a target processor to obtain a target model; and training the target model according to the training data set to determine parameters of each target neural network layer in the target model. By means of the method, the model generated under the specific framework can be converted into the target model capable of being operated by the target processor, and therefore the implementation scene of the model is expanded.

Description

technical field [0001] The present application belongs to the field of artificial intelligence, and in particular relates to a model translation method, device and computer-readable storage medium. Background technique [0002] This section is intended to provide a background or context to the implementations of the application that are recited in the claims. The descriptions herein are not admitted to be prior art by inclusion in this section. [0003] Engineers usually use frameworks such as TensorFlow to create neural network models, and some use Caffe frameworks or Darknet frameworks to create neural network models. [0004] However, in the prior art, neural network models created under different frameworks can only run on specific processors. In other words, models trained based on these commonly used frameworks may not be able to run directly on other general-purpose processors, that is, There is a format incompatibility between the model and the processor. Therefor...

Claims

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Application Information

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IPC IPC(8): G06F8/51G06N3/04
CPCG06F8/51G06N3/04
Inventor 高威特张楠赓
Owner CANAAN BRIGHT SIGHT CO LTD
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